JOURNEY
My Journey
From academic foundations to hands-on campaigns, my journey in digital marketing has been a blend of strategy, creativity, and constant learning. Each project sharpened my skills and deepened my understanding of how to connect brands with the right audience online.
Work Experience
Leading software engineering teams and managing IT operations. Overseeing project delivery, architecture, and technology strategy for business growth.
Managing IT infrastructure and developing software solutions for business processes. Leading development projects and implementing modern technologies.
Worked on developing and maintaining web applications. Collaborated with cross-functional teams and gained hands-on experience with industry-standard tools and practices.
Education
Completed a Bachelor's degree in Software Engineering with a focus on modern web development, software architecture, and project management.
Completed coursework in algorithms, data structures, software design patterns, and full-stack development.
Tech Stack
A curated collection of technologies I've mastered and regularly use to build exceptional digital experiences
Featured Projects
Showcasing my best work and technical capabilities with a focus on user experience

Bliss Café – Coffee Shop
Bliss Café is a modern and responsive coffee shop website built using Next.js, Tailwind CSS, and ShadCN UI. This project showcases a sleek landing page with a floating navbar, hero section, and a clean UI that aligns with system themes. The site is designed to attract customers and provide information about the café, its menu, and location.

Business Landing Page – Open Source Template
A clean, modern, and fully responsive single-page website template designed for businesses. Built using Next.js and Tailwind CSS, this open-source project is perfect for anyone who needs a simple, elegant landing page to showcase their products or services. Licensed under MIT, it’s freely available for customization and public use.

TravelNxt – AI-Powered Travel Recommender
TravelNxt is an intelligent travel location recommender system that helps users discover the best destinations based on their interests, mood, and preferences. Built with Next.js, TypeScript, Tailwind CSS, and integrated with advanced AI models for sentiment and interest-based predictions, it offers personalized travel suggestions, location insights, and top-rated place recommendations. Designed for a smooth, modern, and responsive user experience.
Other Projects



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